Resiliency and Safety Architect

4 weeks ago


Santa Clara, California, United States NVIDIA Full time

NVIDIA is a leader in the field of artificial intelligence and high-performance computing. We are seeking a talented individual to join our Accelerated and Resilient Compute Systems team as a Resiliency and Safety Architect.

This role will involve collaborating with hardware and software teams to design and develop new resiliency and safety features for our GPU and Tegra SoC hardware and software. The successful candidate will have a strong background in computer science and engineering, with experience in computer system architecture, microprocessors, and microcontroller fundamentals.

The ideal candidate will have a strong understanding of software development life cycles, from requirements to testing closure and maintenance. They will also have proficiency in C/C++ and scripting languages such as Python. Familiarity with GPU architectures, machine learning, and deep learning concepts is also desirable.

Key Responsibilities:

  • Collaborate with hardware and software teams to design and develop new resiliency and safety features.
  • Optimize hardware and software features to improve system robustness, performance, and security.
  • Model and analyze RAS metrics like Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF.
  • Run simulations to analyze Architectural Vulnerability Factor and Liveness of on-die memory.
  • Participate in testing new and existing resiliency and safety hardware and software features.
  • Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs.
  • Work on compliance of products with functional safety standards (ISO 26262 and ASPICE (Automotive SPICE)).

Requirements:

  • Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or closely related degree or equivalent experience.
  • Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals.
  • Basic knowledge of some aspects of GPU/SoC architecture - Clocks, Resets, Interrupts, Memory Controller, Multimedia accelerator pipelines.
  • Proficiency in C/C++.
  • Scripting and automation with Python or similar.
  • Understanding of the software development life cycle, from requirements to testing closure and maintenance.
  • Strong debugging and analytical skills.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.



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